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[General] Check Out the Top Three Test4Sure SAA-C03 Exam Questions Formats

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【General】 Check Out the Top Three Test4Sure SAA-C03 Exam Questions Formats

Posted at 1/28/2026 17:13:09      View：52 | Replies：0        Print      Only Author   [Copy Link] 1#
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q681-Q686):NEW QUESTION # 681
A company runs a stateless web application in production on a group of Amazon EC2 On-Demand Instances behind an Application Load Balancer. The application experiences heavy usage during an 8-hour period each business day. Application usage is moderate and steady overnight Application usage is low during weekends.
The company wants to minimize its EC2 costs without affecting the availability of the application.
Which solution will meet these requirements?
  • A. Use Reserved instances for the baseline level of usage Use Spot Instances for any additional capacity that the application needs.
  • B. Use Dedicated Instances for the baseline level of usage. Use On-Demand Instances for any additional capacity that the application needs
  • C. Use On-Demand Instances for the baseline level of usage. Use Spot Instances for any additional capacity that the application needs
  • D. Use Spot Instances for the entire workload.
Answer: A
Explanation:
Reserved is cheaper than on demand the company has. And it's meet the availabilty (HA) requirement as to spot instance that can be disrupted at any time. PRICING BELOW. On-Demand: 0% There's no commitment from you. You pay the most with this option. Reserved : 40%-60%1-year or 3-year commitment from you.
You save money from that commitment. Spot 50%-90% Ridiculously inexpensive because there's no commitment from the AWS side.

NEW QUESTION # 682
A company is moving its data management application to AWS. The company wants to transition to an event-driven architecture. The architecture needs to the more distributed and to use serverless concepts whit performing the different aspects of the workflow. The company also wants to minimize operational overhead.
Which solution will meet these requirements?
  • A. Build out the workflow m AWS Step Functions Use Step Functions to create a stale machine Use the stale machine to invoke AWS Lambda functions to process the workflow steps
  • B. Build out the workflow in Amazon EventBridge. Use EventBridge to invoke AWS Lambda functions on a schedule to process the workflow steps.
  • C. Build out the workflow in AWS Glue Use AWS Glue to invoke AWS Lambda functions to process the workflow slaps
  • D. Build out the workflow in AWS Step Functions Deploy the application on Amazon EC2 Instances Use Step Functions to invoke the workflow steps on the EC2 instances
Answer: A
Explanation:
This answer is correct because it meets the requirements of transitioning to an event-driven architecture, using serverless concepts, and minimizing operational overhead. AWS Step Functions is a serverless service that lets you coordinate multiple AWS services into workflows using state machines. State machines are composed of tasks and transitions that define the logic and order of execution of the workflow steps. AWS Lambda is a serverless function-as-a-service platform that lets you run code without provisioning or managing servers. Lambda functions can be invoked by Step Functions as tasks in a state machine, and can perform different aspects of the data management workflow, such as data ingestion, transformation, validation, and analysis. By using Step Functions and Lambda, the company can benefit from the following advantages:
Event-driven: Step Functions can trigger Lambda functions based on events, such as timers, API calls, or other AWS service events. Lambda functions can also emit events to other services or state machines, creating an event-driven architecture.
Serverless: Step Functions and Lambda are fully managed by AWS, so the company does not need to provision or manage any servers or infrastructure. The company only pays for the resources consumed by the workflows and functions, and can scale up or down automatically based on demand.
Operational overhead: Step Functions and Lambda simplify the development and deployment of workflows and functions, as they provide built-in features such as monitoring, logging, tracing, error handling, retry logic, and security. The company can focus on the business logic and data processing rather than the operational details.
Reference:
What is AWS Step Functions?
What is AWS Lambda?

NEW QUESTION # 683
A company has multiple Windows file servers on premises. The company wants to migrate and consolidate its files into an Amazon FSx for Windows File Server file system. File permissions must be preserved to ensure that access rights do not change.
Which solutions will meet these requirements? (Select TWO.)
  • A. Copy the shares on each file server into Amazon S3 buckets by using the AWS CLI Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system.
  • B. Order an AWS Snowcone device. Connect the device to the on-premises network. Launch AWS DataSync agents on the device. Schedule DataSync tasks to transfer the data to the FSx for Windows File Server file system,
  • C. Order an AWS Snowball Edge Storage Optimized device. Connect the device to the on-premises network. Copy data to the device by using the AWS CLI. Ship the device back to AWS for import into Amazon S3. Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system.
  • D. Remove the drives from each file server Ship the drives to AWS for import into Amazon S3. Schedule AWS DataSync tasks to transfer the data to the FSx for Windows File Server file system
  • E. Deploy AWS DataSync agents on premises. Schedule DataSync tasks to transfer the data to the FSx for Windows File Server file system.
Answer: B,E
Explanation:
A This option involves deploying DataSync agents on your on-premises file servers and using DataSync to transfer the data directly to the FSx for Windows File Server. DataSync ensures that file permissions are preserved during the migration process. D This option involves using an AWS Snowcone device, a portable data transfer device. You would connect the Snowcone device to your on-premises network, launch DataSync agents on the device, and schedule DataSync tasks to transfer the data to FSx for Windows File Server.
DataSync handles the migration process while preserving file permissions.

NEW QUESTION # 684
A company uses 50 TB of data for reporting The company wants to move this data from on premises to AWS A custom application in the company's data center runs a weekly data transformation job The company plans to pause the application until the data transfer is complete and needs to begin the transfer process as soon as possible The data center does not have any available network bandwidth for additional workloads. A solutions architect must transfer the data and must configure the transformation job to continue to run in the AWS Cloud.
Which solution will meet these requirements with the LEAST operational overhead?
  • A. Order an AWS Snowball Edge Storage Optimized device that includes Amazon EC2 compute Copy the data to the device Create a new EC2 instance on AWS to run the transformation application.
  • B. Use AWS DataSync to move the data Create a custom transformation job by using AWS Glue.
  • C. Order an AWS Snowball Edge Storage Optimized device. Copy the data to the device. Create a custom transformation Job by using AWS Glue.
  • D. Order an AWS Snowcone device to move the data Deploy the transformation application to the device.
Answer: C
Explanation:
Understanding the Requirement: The company needs to transfer 50 TB of data to AWS with minimal operational overhead and no available network bandwidth for the transfer. The transformation job must continue running in the AWS Cloud.
Analysis of Options:
AWS DataSync and AWS Glue: DataSync is suitable for online data transfer, but there is no available network bandwidth. AWS Glue can be used for data transformation but does not solve the bandwidth issue.
AWS Snowcone: Snowcone is a smaller device suitable for smaller data transfers, and deploying the transformation application on it may not be feasible for 50 TB of data.
AWS Snowball Edge Storage Optimized with Glue: This device is designed for large data transfers. Copying the data to the device is straightforward, and AWS Glue can handle data transformation in the cloud.
AWS Snowball Edge Storage Optimized with EC2: This involves setting up EC2 instances for transformation, adding operational complexity compared to using AWS Glue.
Best Solution:
AWS Snowball Edge Storage Optimized with AWS Glue: This provides the least operational overhead for transferring large amounts of data and setting up the transformation job in the cloud.
Reference:
AWS Snowball Edge
AWS Glue

NEW QUESTION # 685
A group requires permissions to list an Amazon S3 bucket and delete objects from that bucket An administrator has created the following 1AM policy to provide access to the bucket and applied that policy to the group. The group is not able to delete objects in the bucket. The company follows least-privilege access rules.
  • A.
  • B.
  • C.
  • D.
Answer: A
Explanation:
{
"Version": "2012-10-17",
"Statement": [
{
"Action": [
"s3istBucket",
"s3eleteObject"
],
"Resource": [
"arn:aws:s3:::<bucket-name>"
],
"Effect": "Allow",
},
{
"Action": "s3:*DeleteObject",
"Resource": [
"arn:aws:s3:::<bucket-name>/*" # <- The policy clause kludge "added" to match the solution (Q248.1) example
],
"Effect": "Allow"
}
]
}

NEW QUESTION # 686
......
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